MaskedZeroToOne

class aixd.data.transform.MaskedZeroToOne(per_column=True, scale_inverse_masked: bool = True)[source]

Bases: MaskedMinMaxScaler

Implements the zero-to-one (or min-max) normalization as (x - min) / (max - min) for DataObject’s with a MaskedInterval domain.

Parameters:

per_column (bool, default=True) – If set normalization is performed per column for multi-dim DataObjects.

Inherited Methods

copy

Copies the transformation.

fit

Fits the transformation.

fit_transform

Fits and transforms the input.

inverse_transform

Inverse transform of the input.

is_fitted

Returns true if transformation strategy is fitted.

reset

Method to implement to reset fitted values.

transform

Transforms the input.